Apr 13,2024

002 - The Future of Engineering Part II: Big Data

 

The Future of Engineering Part II: Big Data

 

Course Number: 002

 

Fee: Free

 

Length: 2 Hours

 

Credits: This course qualifies for 2 PDH (unstructured) and 2 CEU (structured) technical learning credits issued by most US State Engineering Regulatory Organizations and all Canadian Provincial and Territorial Engineering Regulatory Organizations.

 

Online, Self-Directed Format: Primarily Text with Illustrations and Video

 

Course Description (Syllabus):

 

In Part 1 of this series The Future of Engineering, we discussed how The Internet of Things is exponentially feeding the Internet with an enormous amount of data. But where is this data going, how is it being processed and how is it impacting engineering?

 

In today's digital age, the utilization of data from IoT and other sources is revolutionizing engineering.

 

This course aims to provide an introductory understanding of the concepts of Big Data and its impact on different fields of engineering, covering topics such as its definition, sources, processing and analyzing methods, application in engineering, as well as the challenges and future trends in this rapidly evolving technology.

 

Learning Outcomes: By completing this course you will learn:

 

1. Definition and Overview of Big Data in Engineering

2. Role and Influence of Big Data in Engineering

3. Sources of Big Data

4. Tools for Processing and Analyzing Big Data

5. Applications of Big Data in Different Fields of Engineering: Civil/Structural, Mechanical, Electrical, Chemical, Biomedical, Environmental

6. Challenges and Solutions in Big Data

7. Future Trends in Big Data and Engineering: 5G, Quantum Computing, AI

 

Who Should Take This Course:

 

Engineering students, engineers less familiar with Big Data and engineers who wish to update their knowledge of this rapidly evolving technology and how it is applied in their field of engineering.

 

Important Note: This course provides a foundation for future eMETA courses on the application of Big Data in specific fields of engineering.

 

Course Instructions:

 

Enrollment: You must be registered and logged into the Engineer eLearning Centre website to access this online, self-directed course.

 

Once you are logged into your Engineer eLearning account click “Browse Courses” to find this course. Click Enroll to pay fee for this course using secure PayPal.

 

After making payment you will be returned to your account “My Courses”. Click Enter Course in course profile box. Once enrolled you can enter the course at any time. There is no time limit as to when you must complete this course. To access the course learning content click the module headings in the side menu.

 

You will receive a receipt of payment from both PayPal and eMETA Learning Solutions. Your payment will also be recorded in your Engineer eLearning account’s “Payment” log.

 

Credit Options

 

After completing this course you have the option of receiving eMETA PDH or CEU credit(s) or both. eMETA credits qualify for Unstructured and Structured technical learning credits required by most US State and all Canadian Provincial and Territorial Engineering Regulatory Organizations.

 

To receive your eMETA CEU credit you will be required to take an automated quiz.

 

Instructions on how to receive your credit(s) and download your PDF Certificate(s) are provided in the side menu of this course. Your credits will also be registered in your Engineer eLearning Centre account. You can download a Transcript of all credits earned in the Engineer eLearning Centre by clicking the Transcript tab in your account.

  

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eMETA will be publishing new courses every month on the application of emerging technologies in different sectors of engineering. To receive updates on new courses subscribe to our emailing list.